SAIVT Semantic Person Search

SAIVT Semantic Person Search

Overview

The SAIVT Semantic Person Search Database was developed to provide a suitable platform to develop and evaluate techniques that search for a person using a semantic query (i.e. tall, red shirt, jeans). Sequences for 110 subjects consisting of 30 initialisation frames (to, for instance, learn a background model), a number of annotated frames containing the target subject, and a description of the subject incorporating a number of traits including clothing type and colour, gender, height and build are provided.

You can read our paper on eprints

Contact Dr Simon Denman for further information.

Licensing

The SAIVT-SoftBioSearch database is © 2012 QUT and is licensed under the Creative Commons Attribution-ShareAlike 3.0 Australia License.

Attribution

To attribute this database, please include the following citation:
Halstead, Michael, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton B. (2014) Locating People in Video from Semantic Descriptions : A New Database and Approach. In the 22nd International Conference on Pattern Recognition, 24 - 28 August 2014, Stockholm, Sweden.
Our paper is available on eprints .

Acknowledging the Database in your Publications

In addition to citing our paper, we kindly request that the following text be included in an acknowledgements section at the end of your publications:
We would like to thank the SAIVT Research Labs at Queensland University of Technology (QUT) for freely supplying us with the SAIVT-SoftBioSearch database for our research.

Installing the SAIVT-SoftBioSearch Database

Download and unzip the following archives:

SAIVT-SoftBioSearchDB.tar.gz (157 MB, md5sum: a0c897c803c4d3a79be64a93c83060ef)
SAIVT-SoftBioSearchDB-C1.tar.gz (1.6 GB, md5sum: 692affdde65091bfe24f29ccb186dd65)
SAIVT-SoftBioSearchDB-C2.tar.gz (1.0 GB, md5sum: 573e953b0cce15c6f2ee5c3cb0cb4fe1)
SAIVT-SoftBioSearchDB-C3.tar.gz (1.5 GB, md5sum: 8870c3333e61cb27f49d5fd46c937937)
SAIVT-SoftBioSearchDB-C4.tar.gz (908 MB, md5sum: 79debc4b219bfc4dfe65eea06f57b458)
SAIVT-SoftBioSearchDB-C5.tar.gz (858 MB, md5Sum: 44a973b0a0d8dfca340dc0945c479ace)
SAIVT-SoftBioSearchDB-C6.tar.gz (591 MB, md5Sum: 9cdfc872104cb730d3be436cee39e5ce)

At this point, you should have the following data structure and the SAIVT-SoftBioSearch database is installed:

SAIVT-SoftBioSearch
+-- C1-BlackBlueStripe-BlueJeans
+-- C1-BlackShirt-PinkShorts
+-- ...
+-- C6-YellowWhiteSpotDress
+-- Calibration
+-- Data
+-- CultureColours
+-- Black
+-- Blue
+-- ...
+-- Videos
+-- Cam1
+-- Cam2
+-- ...
+-- Halstead 2014 - Locating People in Video from Semantic Descriptions.pdf
+-- LICENSE.txt
+-- README.txt (this document)
+-- SAIVTSoftBioDatabase.xml

Sequences for the individual subjects are contained within the directories named C[1..6]-[TorsoDescription]-[LegDescription]. There are 110 subjects captured from six different cameras. Each directory contains an XML file with the annotation for that sequence, and the images that belong to the sequence. For each sequence, the first 30 frames are reserved for updating/learning a background model, and as such have no annotation.

The 'Calibration' directory contains a camera calibration (using Tsai's method) for the six cameras used in the database.

The 'Data' directory contains additional data that may of use. In particular, it contains a collection of colour patches within 'Data/CultureColours' that can be used to train models for a specific colour. It also contains a set of patches for skin, and for non-skin colours. 'Data/Videos' contains videos for each camera, that can be used to learn the background. It should also be noted that for a portion of the time when the database was captured, a temporary wall was up due to construction works. This impacted the following sequences captured from cameras 1 and 6:

Camera1 C1-GreenWhiteHorizontal-BlackPants C1-RedCheck-BlackSkirt C1-GreenCheck-BrownPants
Camera6 C6-GreenFaceCover-Blue-Blue C6-YellowWhiteSpotDress

Additional videos for these cameras are also included and are named CamX_Wall.avi. The 'SAIVTSoftBioSearchDB.xml' file defines the database. This file specifies the cameras and their calibrations/background sequences, includes definitions for the traits/soft biometrics, and lists the sequences.

This paper is also available alongside this document in the file 'Halstead 2014 - Locating People in Video from Semantic Descriptions.pdf'.

SAIVT语义人物搜索数据库概述

该SAIVT语义人物搜索数据库旨在提供一个适宜的平台，用于开发和评估基于语义查询（即：高挑、红色衬衫、牛仔裤）搜索人物的技术。该数据库包含110位受试者的序列，包括30个初始化帧（例如，用于学习背景模型），若干包含目标人物的标注帧，以及描述受试者的信息，其中包含多个特征，包括服装类型和颜色、性别、身高和体型。

您可以阅读我们的论文在eprints上的发表。

联系Simon Denman博士获取更多信息。

许可协议

SAIVT-SoftBioSearch数据库版权所有©2012 QUT，并受Creative Commons Attribution-ShareAlike 3.0澳大利亚许可协议的许可。

归属

在使用此数据库时，请包含以下引用：
Halstead, Michael, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton B. (2014) 从语义描述定位视频中的人物：一个新的数据库和一种新的方法。在2014年8月24日至28日于瑞典斯德哥尔摩举行的第22届国际模式识别会议论文集中。
我们的论文可在eprints上获取。

在出版物中承认数据库

除了引用我们的论文外，我们还恳请在出版物末尾的致谢部分包含以下文本：
我们感谢昆士兰科技大学（QUT）的SAIVT研究实验室免费为我们提供SAIVT-SoftBioSearch数据库，以支持我们的研究。

安装SAIVT-SoftBioSearch数据库

下载并解压以下存档：

SAIVT-SoftBioSearchDB.tar.gz (157 MB, md5sum: a0c897c803c4d3a79be64a93c83060ef)
SAIVT-SoftBioSearchDB-C1.tar.gz (1.6 GB, md5sum: 692affdde65091bfe24f29ccb186dd65)
SAIVT-SoftBioSearchDB-C2.tar.gz (1.0 GB, md5sum: 573e953b0cce15c6f2ee5c3cb0cb4fe1)
SAIVT-SoftBioSearchDB-C3.tar.gz (1.5 GB, md5sum: 8870c3333e61cb27f49d5fd46c937937)
SAIVT-SoftBioSearchDB-C4.tar.gz (908 MB, md5sum: 79debc4b219bfc4dfe65eea06f57b458)
SAIVT-SoftBioSearchDB-C5.tar.gz (858 MB, md5Sum: 44a973b0a0d8dfca340dc0945c479ace)
SAIVT-SoftBioSearchDB-C6.tar.gz (591 MB, md5Sum: 9cdfc872104cb730d3be436cee39e5ce)

在此阶段，您应该拥有以下数据结构，并且SAIVT-SoftBioSearch数据库已安装：

SAIVT-SoftBioSearch
+
-- C1-BlackBlueStripe-BlueJeans
+
-- C1-BlackShirt-PinkShorts
+
...
+
-- C6-YellowWhiteSpotDress
+
-- Calibration
+
-- Data
+
-- CultureColours
+
-- Black
+
-- Blue
+
...
+
-- Videos
+
-- Cam1
+
-- Cam2
+
...
+
-- Halstead 2014 - Locating People in Video from Semantic Descriptions.pdf
+
-- LICENSE.txt
+
-- README.txt (本文件)
+
-- SAIVTSoftBioDatabase.xml

个人受试者的序列包含在以C[1..6]-[TorsoDescription]-[LegDescription]命名的目录中。共有110位受试者，由六个不同的摄像头捕获。每个目录包含一个XML文件，其中包含该序列的注释，以及属于该序列的图像。对于每个序列，前30帧保留用于更新/学习背景模型，因此没有注释。

'Calibration'目录包含六个摄像头使用的相机校准（使用Tsai方法）。'Data'目录包含可能有用的附加数据。特别是，'Data/CultureColours'中包含一组颜色块，可用于训练特定颜色的模型。它还包含一组皮肤和非皮肤颜色的块。'Data/Videos'包含每个摄像头的视频，可用于学习背景。还应注意的是，在数据库捕获期间，由于施工工作，存在临时墙壁。这影响了从摄像头1和6捕获的以下序列：

摄像头1 C1-GreenWhiteHorizontal-BlackPants C1-RedCheck-BlackSkirt C1-GreenCheck-BrownPants
摄像头6 C6-GreenFaceCover-Blue-Blue C6-YellowWhiteSpotDress

还包括这些摄像头的额外视频，命名为CamX_Wall.avi。'SAIVTSoftBioSearchDB.xml'文件定义了数据库。此文件指定了摄像头及其校准/背景序列，包括特征/软生物特征的定义，并列出序列。

此论文也随本文件一起提供，在文件'Halstead 2014 - Locating People in Video from Semantic Descriptions.pdf'中。